Automated Flood Map Change Detection System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
FEMA's periodic updates to flood maps require lenders to continuously monitor changes in flood zone designations to ensure compliance with insurance requirements, but existing methods lack efficiency in detecting and communicating these changes accurately and efficiently.
Innovation Solution
A system that compares digitized flood maps to identify changes in flood zone designations by overlaying street maps and assigning priority identifiers to affected areas, allowing for automated updates and notifications to lenders and property owners.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual comparison of flood maps is used to detect zone changes, then accuracy can be maintained, but the time and resources required increase significantly
Solution Approach 1:
The patent replaces manual mechanical comparison methods with an automated computer-based system that uses image processing and pattern recognition algorithms to detect flood zone changes, thereby eliminating time-consuming manual labor while maintaining detection accuracy
Solution Approach 2:
The system creates digital copies of flood maps and uses these replicas for automated comparison and analysis, allowing multiple simultaneous processing operations without consuming physical map resources and enabling rapid iterative analysis
2Reliability
If comprehensive flood map analysis is performed to detect all changes, then complete coverage is achieved, but the complexity of the system increases
Solution Approach 1:
The patent divides the flood map analysis into distinct processing stages including image preprocessing, feature extraction, change detection, and validation modules, allowing each component to be optimized independently and simplifying the overall system architecture while maintaining comprehensive coverage
Solution Approach 2:
The system performs preliminary processing of flood maps including normalization, registration, and feature extraction before the actual change detection analysis, preparing data in advance to reduce the complexity of the main detection algorithm and improve processing efficiency
3Reliability
If frequent flood map updates are monitored to ensure compliance, then insurance requirements are met, but the administrative burden increases
Solution Approach 1:
The patent implements an automated feedback mechanism that continuously monitors flood map updates, detects changes, and automatically notifies relevant parties including lenders and insurers, creating a closed-loop system that ensures compliance while reducing manual administrative intervention
Solution Approach 2:
The system enables automated self-monitoring and self-notification capabilities where the flood map analysis and compliance verification are performed automatically without requiring manual administrative processing, allowing the system to serve itself in detecting and reporting changes
Data Source
AI summary
In various embodiments, old flood maps may be compared to new flood maps to determine which areas of the flood map have changed. These changed areas may be correlated against geographic area descriptions that are within changed areas of the flood map. The changed areas may also be analyzed to determine whether each area has had a change in status (e.g., from a high risk flood zone to a non-high risk flood zone or vice versa) or a change in zone within a status (e.g., from one flood zone to another flood zone). The information on type of change (or no change) may be used to populate a database that includes geographic area description identifiers. In some embodiments, detection of certain types of changes may initiate a manual comparison of the old and new flood maps to verify the change.